PR[AI]RIE Researcher
Cyffers Edwige
Edwige Cyffers is a permanent CNRS researcher (chargée de recherche) at LAMSADE, Paris Dauphine-PSL, working on trustworthy machine learning, in particular privacy, decentralized and federated learning, and performative learning. Before joining CNRS in 2026, Edwige was a postdoctoral researcher at ISTA with Christoph Lampert and Marco Mondelli, and a Research Fellow in the Federated Learning program at the Simons Institute in Berkeley. Edwige did a PhD on differential privacy for decentralized learning at Inria and the Université de Lille, supervised by Aurélien Bellet, and received the L’Oréal-UNESCO Young Talents award, the SSFAM PhD award and the runner-up AFIA PhD award for this work.

Informations
Institutions: CNRS
Thematics: Trustworthy Machine Learning
Topic of interest: Differential Privacy, Performative Learning, Machine Learning Theory
edwige.cyffers@cnrs.fr